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Results 1 - 10 of 81  for Everything in this catalogue

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1
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Learning Possibilistic Networks from Data

Gebhardt, J. et al.

SPRINGER VERLAG KG Part: Part 112; (pages 143-154) -- 1996

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2
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Structure Learning of Bayesian Networks by Hybrid Genetic Algorithms

Larra¤aga, P. et al.

SPRINGER VERLAG KG Part: Part 112; (pages 165-174) -- 1996

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3
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Two Applications of Statistical Modelling to Natural Language Processing

DuMouchel, W. et al.

SPRINGER VERLAG KG Part: Part 112; (pages 413-422) -- 1996

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4
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Using Causal Knowledge to Learn More Useful Decision Rules from Data

Cox, L. A.; Fisher, D.; Lenz, H.-J.

SPRINGER VERLAG KG Part: Part 112; (pages 13-22) -- 1996

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5
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Data Representations in Learning

Srikantan, G. et al.

SPRINGER VERLAG KG Part: Part 112; (pages 301-310) -- 1996

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6
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On the Statistical Comparison of Inductive Learning Methods

Feelders, A. et al.

SPRINGER VERLAG KG Part: Part 112; (pages 271-280) -- 1996

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7
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Statistical Analysis fo Complex Systems in Biomedicine

Burke, H. B.; Fisher, D.; Lenz, H.-J.

SPRINGER VERLAG KG Part: Part 112; (pages 251-258) -- 1996

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8
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Robust Linear Discriminant Trees

John, G. H.; Fisher, D.; Lenz, H.-J.

SPRINGER VERLAG KG Part: Part 112; (pages 375-386) -- 1996

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9
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Control Representation in an EDA Assistant

St. Amant, R. et al.

SPRINGER VERLAG KG Part: Part 112; (pages 353-362) -- 1996

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10
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Learning Bayesian Networks is NP-Complete

Chickering, D. M.; Fisher, D.; Lenz, H.-J.

SPRINGER VERLAG KG Part: Part 112; (pages 121-130) -- 1996

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